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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Utilities · ·
$120.00
▼ $1.62 (-1.3%)
Market data updated: 09/20 03:42 AM
Fundamentals updated: 09/19/2026
News analyzed: 09/20/2026
Market Cap
$65.29B
Day Range
$119.71 - $121.12
52-Week Range
$106.12 - $140.58
Beta
—
Next Earnings
27.10.2026
Support
$119.71
Resistance
$136.60
AEP is a stock from the Utilities sector — Electricity, water, and residential gas — steady demand and heavy regulation, considered a defensive, dividend-paying sector.
+12.7% (1Y)
Strengths: 7/28 factors positiveRisk: High
This score and all analysis on this page are for informational and educational purposes only and do not constitute investment advice. Read the full disclaimer
Weighted: Technical 25% · Fundamental 20% · Growth 15% · Valuation 15% · News 10% · Quality 10% · Risk 5%
Overall Score
🟡 Mixed
Technical Trend
🔴 Bearish
Insiders
🔴 Bearish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Net income growth
Net income growth: 24.2%
Growth
Biggest negative driver
Liquidity risk
Current ratio: 0.45
Risk
What to watch next
When today echoes the past.
80/100
Similarity
15
Historical Matches
91/100
Analog Quality
+7.1%
Median 40D Outcome
72/100
Pattern Consistency
🟢 Bullish
67%
+3.3% … +9.4%
🟡 Base
0%
— … —
🔴 Bearish
33%
-3.2% … -1.8%
Typical timeframe (based on real historical rates clearing a 60% bar): 5 trading days.
📌 Bottom line: Out of 15 similar historical cases for this stock, 67% (95% CI 42%–85%) saw the stock rise within 20 trading days, with a median gain of +3.2%.
Echo #1 — Momentum Breakout
3 occurrence(s) · 100% historical success
Historical outcome rate is not a probability — it's what happened in this specific historical sample, with a 95% confidence range.
| Horizon | Positive rate (95% CI) | Median | 25th–75th pct | Baseline median |
|---|---|---|---|---|
| 5D | 60% (36%–80%) | +1.7% | +0.2% … +4.1% | +0.3% |
| 10D | 60% (36%–80%) | +1.6% | +0.3% … +7.0% | +0.4% |
| 20D | 67% (42%–85%) | +3.2% | -1.6% … +7.6% | +1.1% |
| 40D | 80% (55%–93%) | +7.1% | +2.9% … +9.4% | +1.6% |
| 60D | 73% (48%–89%) | +4.1% | -0.2% … +10.7% | +2.9% |
Sample size: 15 analogs, each at least 10 trading days apart (no double-counted overlapping events).
What happened after each historical match (20-day return)
| Date | Similarity | Regime | 20D outcome | 60D outcome |
|---|---|---|---|---|
| 2018-02-05 | 80/100 | ✓ Downtrend | -1.5% | +4.1% |
| 2023-02-28 | 79/100 | ✓ Downtrend | +1.1% | -3.2% |
| 2018-05-09 | 78/100 | ✓ Downtrend | -3.2% | +7.4% |
| 2024-12-18 | 77/100 | ✓ Downtrend | +7.6% | +16.4% |
| 2025-01-06 | 77/100 | ✓ Downtrend | +10.0% | +20.8% |
| 2023-05-15 | 77/100 | Consolidation | -7.7% | -10.0% |
| 2021-06-23 | 76/100 | Consolidation | +2.7% | +1.8% |
| 2023-02-08 | 75/100 | Downtrend | -1.8% | +1.9% |
| 2021-12-01 | 74/100 | ✓ Downtrend | +10.5% | +12.9% |
| 2021-11-12 | 74/100 | Downtrend | +3.6% | +9.0% |
| 2021-06-08 | 73/100 | Consolidation | +3.2% | +9.1% |
| 2023-03-22 | 73/100 | ✓ Downtrend | +7.7% | -2.2% |
| 2024-01-16 | 72/100 | Consolidation | -2.7% | +2.4% |
| 2024-04-15 | 72/100 | Consolidation | +13.1% | +12.3% |
| 2023-06-28 | 72/100 | Downtrend | +4.5% | -3.0% |
Every accepted match is compared to today across 6 domains (price structure, momentum, technical, volatility, volume, relative strength) using z-scored feature distances — no single indicator dominates. Matches within 10 trading days of each other count as one event, not independent evidence. Outcome rates use a Wilson confidence interval (never a raw percentage alone), the mean return is winsorized against extreme outliers, and "Analog Quality" separately captures sample size, data completeness, and regime match — distinct from raw similarity. Relative strength is measured against SPY and against XLU (this stock's sector).
Cross-stock analogs — real other companies, not this stock's own history.
TIME ECHO identifies historical situations that resemble the current market state. Historical outcomes are not guarantees of future performance. Similarity does not imply causation, and results may change as new data becomes available.
🗓️ What Changed This Week
🌱 Building History
We don't have a real data point from a week ago for this stock yet. The weekly comparison will appear once enough history has accumulated.
📊 Score History
49
Today
50
30D
—
90D
—
1Y
🔎 What Changed (vs. 30 days ago)
🕰️ Signal Timeline
What StockIQ actually saw for this stock, and what happened after each signal — real data, not a forecast.
26d ago · $121.98
Evidence: 1 bullish / 9 bearish technical signals agreeing
What happened after
26d ago · $120.94
Evidence: 1 bullish / 9 bearish technical signals agreeing
What happened after
27d ago · $120.94
Evidence: 1 bullish / 9 bearish technical signals agreeing
What happened after
28d ago · $120.94
Evidence: 1 bullish / 9 bearish technical signals agreeing
What happened after
28d ago · $120.94
Evidence: 4 bullish / 5 bearish technical signals agreeing
What happened after
31d ago · $126.65
Evidence: 3 bullish / 7 bearish technical signals agreeing
What happened after
32d ago · $126.78
Evidence: 2 bullish / 6 bearish technical signals agreeing
What happened after
🐂🐻 Investment Thesis
🐂 Bull Case
🐻 Bear Case
🔍 What Could Prove This Wrong
This isn't a price-direction forecast — just a synthesis of real, already-computed data, and future conditions that could change the picture.
🕰️ StockIQ Time Machine
What did StockIQ know — and when? Pick a date from the real accumulated history.
As of August 18, 2026
Then
49
$126.73
Now
49
$120.00
What happened since
Signals detected by this date
No signals detected by this date
🧬 STOCK DNA
This stock's profile across 8 real dimensions — a research tool, not a recommendation
Growth
68
Quality
58
Value
50
Momentum
13
Risk
44
Sentiment
98
Fundamental
52
Institutional
0
Stocks with a similar DNA right now
SCANNING AEP...
Recent media coverage of American Electric Power (AEP) has largely focused on its position within the broader energy sector, particularly in relation to artificial intelligence-driven power demand. Analysts highlight AEP as one of several utility stocks gaining attention for its exposure to AI-driven data center growth, though its stock performance has been compared unfavorably to peers like NextEra Energy. Investors like Peter Thiel’s fund have also noted AEP as part of a strategic bet on the evolving energy grid supporting AI infrastructure. Overall, the discussion centers on AEP’s growth potential amid shifting market dynamics.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about American Electric Power. News trend score: 98. Reason: 12 of the last 20 articles are positive, versus 4 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
18
🎯 Conviction (vs. Emotion)
41
Psychology
95
Fundamentals
52
Technical
13
Valuation
50
The price is holding at a real, documented historical support/resistance level (a 50-day high or low).
The stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
Extreme momentum, price far above its moving average, and a large premium over fair value.
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
Price, volume, and sentiment accelerating together — a sign investors are chasing the price, not just following it.
Price (3M)
-6%
Market Narrative
61
Fundamental Reality
41
Narrative Gap
+20
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The market behavior suggests AEP is trading in step with its peers, with both the stock and the peer group posting modest gains (+0.6% and +0.5%). Strong news sentiment (100/100) appears to be driving a herd‑like alignment despite weak price momentum (-0.4%) and low trading volume (0.80×). The moderate anchoring score (4.1% above support) indicates traders may be referencing recent support levels. An open question remains whether the positive sentiment will sustain the herd rally or if the underlying negative momentum will prompt a shift.
Updated: 09/09/2026, 12:41 AM
What could change this?
👥 What the crowd believes
"AI data-center power demand is reshaping utilities into growth plays"
"NextEra Energy tops AEP with stronger earnings revisions, higher margins and ROE"
"owning the fund means paying for a lot of names that will miss the surge entirely"
"Peter Thiel’s fund is betting on the grid behind AI"
📈 16D Investor Psychology
Signal classification confidence: High (confidence in the behavioral read, not a price prediction). Describes observable market behavior, not what any individual investor thinks, and is not a buy/sell signal.
🏛️ Investor DNA — Historical Investors
A Historical Strategy Simulation: assuming each investor follows their documented principles, how would they rate this stock today? This is not a prediction of what they would actually do.
🟢 Best match
Samuel Armstrong Nelson — 98/100
🔴 Weakest match
Walter Bagehot — 0/100
🗣️ Why do they disagree?
This stock’s starkly divided verdicts reflect deep methodological disagreements about risk, valuation, and market psychology. Charles Mackay and Thorstein Veblen’s high scores suggest AEP avoids crowd-driven bubbles and aligns with fundamental growth, while Philip Fisher and Peter Lynch—though more cautious—still see viable business fundamentals, albeit not exceptional. Meanwhile, the sharp contrast between Benjamin Graham’s near-total rejection (25/0) and Walter Bagehot’s outright liquidity warning (0) highlights a clash between defensive value investing and systemic risk concerns. The middle-ground approaches (Marks, Housel, Malkiel) treat AEP as a ‘meh’ holding—adequate but not compelling—while Livermore and Nelson’s low scores flag cyclical or trend-based red flags, underscoring how momentum and timing diverge so sharply from value or quality frameworks.
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 98
Cycle position looks favorable — closer to oversold than overbought
Key question
Is the price overextended, or is there still room to move?
Fact → Principle → Simulation
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 76
No obvious signs of crowd mania
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Thorstein Veblen
The Theory of Business Enterprise (1904)
🟡 62
Mixed signal on whether growth translates to real profit
Key question
Is management building real value, or just building itself?
Fact → Principle → Simulation
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟡 61
Solid, but not the exceptional quality Fisher looked for
Key question
How exceptional is this business, really?
Fact → Principle → Simulation
Jack Schwager
Market Wizards (1989)
🟡 61
No clear edge either way
Key question
What's the risk/reward here, and where is my exit point?
Fact → Principle → Simulation
Peter Lynch
One Up on Wall Street (1989)
🟡 59
Mixed — growth exists but the price already reflects much of it
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟡 57
Reasonable but not a clear long-term holding
Key question
Is this a stock I'd be happy to hold and forget about for a decade?
Fact → Principle → Simulation
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟡 56
Somewhere in the middle of the cycle
Key question
Where are we in the cycle right now — near a hot extreme, or a cold one?
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 42
Mixed — a good business, but expectations may already be high
Key question
What is the market probably misunderstanding about the risk here?
Fact → Principle → Simulation
Morgan Housel
The Psychology of Money (2020)
🟡 41
Moderate — holdable, but not effortless
Key question
Could I live with this volatility long enough for compounding to actually work?
Fact → Principle → Simulation
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 37
Mixed case — the evidence for picking this stock over an index is not strong
Key question
Do I actually have an edge here, or do I just think I do?
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 37
Risk profile Loeb would flag as a real threat to capital
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🔴 28
Fails most of Graham's defensive criteria
Key question
Where is my margin of safety?
Fact → Principle → Simulation
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 19
Negative trend — against Livermore's core rule of trading with the trend
Key question
What is the price telling me right now?
Fact → Principle → Simulation
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🔴 5
Not statistically cheap enough for the Enterprising Investor's looser safety bar
Key question
Is the stock statistically cheap enough to justify the extra risk?
Fact → Principle → Simulation
Walter Bagehot
Lombard Street (1873)
🔴 0
Liquidity position Bagehot would flag as a real risk
Key question
Does this company have enough liquidity to survive real stress?
Fact → Principle → Simulation
Based on the last 300 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (0 bullish · 10 bearish · 1 neutral)
A market-structure read based purely on real price and volume data — not full classic Wyckoff schematic identification (Phase A-E), but a quantitative analysis of what can reliably be computed: trading ranges, "effort vs. result", volume within the range, and Spring/Upthrust detection.
The stock is in a clear downtrend with no defined trading range in the period examined.
Medium confidence
The Wyckoff Method, developed by Richard Wyckoff in the early 20th century, reads the balance of supply and demand through price and volume, based on the premise that large investors ("smart money") quietly accumulate shares before rallies and quietly distribute them before declines. The read here is based solely on real price and volume data — full, precise identification of classic Wyckoff patterns (such as Phases A-E) requires human chart-reading experience and judgment, so this is an approximate algorithmic read, not a substitute for professional analysis. This should not be considered investment advice.
Gross Margin
—
Operating Margin
24.9%
Net Margin
16.8%
EBITDA Margin
—
ROE
11.5%
ROA
3.1%
ROIC
—
EPS
$6.70
Cash
$197.00M
Total Debt
$47.32B
Current Ratio
0.45
Debt/Equity
1.57
Total dividend per share paid each year, over the last 5 years.
| Ex-Dividend Date | Amount per Share |
|---|---|
| 10.8.2026 | $0.950 |
| 8.5.2026 | $0.950 |
| 7.5.2026 | $0.950 |
| 10.2.2026 | $0.950 |
| 9.2.2026 | $0.950 |
| 10.11.2025 | $0.950 |
| 9.11.2025 | $0.950 |
| 8.8.2025 | $0.930 |
| 7.8.2025 | $0.930 |
| 9.5.2025 | $0.930 |
| 8.5.2025 | $0.930 |
| 10.2.2025 | $0.930 |
How is Fair Value calculated? →
Not enough cash-flow data to calculate a DCF model for this stock.
Book Value per Share
$57.64
Tangible Book Value per Share (Tangible NAV)
$31.30
Sentiment based on basic keywords (not AI) — 12 positive, 4 neutral, 4 negative out of the last 20 articles.
Yahoo · 19.9.2026
Benzinga · 18.9.2026
Yahoo · 15.9.2026
Yahoo · 15.9.2026
Yahoo · 15.9.2026
SeekingAlpha · 14.9.2026
MT Newswires · 14.9.2026
Benzinga · 11.9.2026
Yahoo · 11.9.2026
Yahoo · 10.9.2026
Motley Fool · 10.9.2026
Benzinga · 10.9.2026
MT Newswires · 9.9.2026
Yahoo · 8.9.2026
24/7 Wall St. · 8.9.2026
Yahoo · 8.9.2026
Barchart · 8.9.2026
SeekingAlpha · 8.9.2026
SeekingAlpha · 7.9.2026
Yahoo · 7.9.2026
American Electric Power (AEP) currently has a StockIQ AI score of 49/100, rated "Moderate". The score is a weighted average across up to 7 categories (technical, fundamental, growth, fair value, news, quality, risk), based on real data only.
AEP currently scores 49/100 (Moderate) across the categories we measure. StockIQ doesn't give buy/sell recommendations — use this as one data point in your own research, not as investment advice.
AEP's technical score is 13/100, which currently reads as bearish — based on real price/volume signals (moving averages, RSI, MACD, and more), not a prediction of what happens next.
Based on the real signals StockIQ computed: Net income growth: 24.2%; Operating margin is stable or improving over time; ATR: 1.7% of price.
Based on the real signals StockIQ computed: Current ratio: 0.45; Debt/equity: 1.57; Price is below the 50-day average.
Yes — AEP has a real recorded dividend payment history on StockIQ. See the Dividends section on this page for the actual per-share amounts and dates.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 0 purchases and 1 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Dixon Kate | Open Market Sale | 8.9.2026 | 2,000 | -2,000 | $125.00 |
| Fehrman William | Tax Withholding in Shares | 1.8.2026 | 6,283 | -6,283 | $128.32 |
| Hall Greg B | Tax Withholding in Shares | 1.8.2026 | 1,741 | -1,741 | $128.32 |
| Hall Greg B | Tax Withholding in Shares | 1.8.2026 | 34,408 | -1,741 | $128.32 |
| Fehrman William | Tax Withholding in Shares | 1.8.2026 | 133,539 | -6,283 | $128.32 |
| Von Thaer Lewis | Grant/Award from Employer | 30.6.2026 | 0 | +0 | $136.81 |
| Roberts Daryl | Grant/Award from Employer | 30.6.2026 | 0 | +0 | $136.81 |
| Tucker Sara Martinez | Grant/Award from Employer | 30.6.2026 | 0 | +0 | $136.81 |
| LIN SANDRA BEACH | Grant/Award from Employer | 30.6.2026 | 0 | +0 | $136.81 |
| FOWKE BENJAMIN G S III | Grant/Award from Employer | 30.6.2026 | 0 | +0 | $136.81 |
| McCarthy Margaret M | Grant/Award from Employer | 30.6.2026 | 0 | +0 | $136.81 |
| Sauvage Joseph G | Grant/Award from Employer | 30.6.2026 | 0 | +0 | $136.81 |
| Stoddard Daniel G. | Grant/Award from Employer | 30.6.2026 | 0 | +0 | $136.81 |
| Stoddard Daniel G. | Grant/Award from Employer | 30.6.2026 | 0 | +0 | $136.81 |
| GARCIA ART A | Grant/Award from Employer | 30.6.2026 | 0 | +0 | $136.81 |
| GARCIA ART A | Grant/Award from Employer | 30.6.2026 | 2,852 | +0 | $136.81 |
| FOWKE BENJAMIN G S III | Grant/Award from Employer | 30.6.2026 | 7,070 | +0 | $136.81 |
| LIN SANDRA BEACH | Grant/Award from Employer | 30.6.2026 | 19,772 | +0 | $136.81 |
| Von Thaer Lewis | Grant/Award from Employer | 30.6.2026 | 8,320 | +0 | $136.81 |
| Tucker Sara Martinez | Grant/Award from Employer | 30.6.2026 | 32,579 | +0 | $136.81 |
| McCarthy Margaret M | Grant/Award from Employer | 30.6.2026 | 3,660 | +0 | $136.81 |
| Stoddard Daniel G. | Grant/Award from Employer | 30.6.2026 | 1,631 | +0 | $136.81 |
| Stoddard Daniel G. | Grant/Award from Employer | 30.6.2026 | 5,186 | +0 | $136.81 |
| Roberts Daryl | Grant/Award from Employer | 30.6.2026 | 761 | +0 | $136.81 |
| Sauvage Joseph G | Grant/Award from Employer | 30.6.2026 | 1,820 | +0 | $136.81 |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
24,341,866 shares short as of 2026-08-31 · vs. 31,424,687 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
54.1% of trading volume this week was short selling, vs. 60.6% the prior week
Based on daily short-sale volume (Reg SHO) — a different metric from the open short interest above: this is daily trading volume, not an open position, so it updates weekly rather than biweekly.
Full breakdown of every data type and its source: Data Sources · Methodology